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 Series Title: Number Unemployed for 27-51 Weeks 65 years and over, Women: NSA
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 2012 04 1129.
 2012 03 7925·
 2012 02 6717.
 2012 01 3913.
 2011 12  8525.
 2011 11  9719·
 2011 10  6720·
 2011 09  1926·
 2011 08  5720·
 2011 07  4426·
 2011 06  9923·
 2011 05  2919.
 2011 04  7726·
 2011 03  235.
 2011 02  7636·
 2011 01  1336.
 2010 12 2133.
 2010 11 7929.
 2010 10 3627.
 2010 09 4033.
 2010 08 88
 2010 07 516·
 2010 06 4214.
 2010 05 423.
 2010 04 519.
 2010 03 3719.
 2010 02 8116·
 2010 01 2536.
 2009 12  2037.
 2009 11  5852·
 2009 10  6740·
 2009 09  4651.
 2009 08  1135.
 2009 07  7320.
 2009 06  3813·
 2009 05  3822.
 2009 04  7827·
 2009 03  1422.
 2009 02  5617.
 2009 01  9322·
 2008 12 449·
 2008 11 388.
 2008 10 918·
 2008 09 3111·
 2008 08 627.
 2008 07 2612·
 2008 06 119.
 2008 05 965·
 2008 04 73.
 2008 02 864.
 2008 01 98
 2007 12  586·
 2007 11  7811·
 2007 10  484.
 2007 08  356.
 2007 07  102·
 2007 06  27.
 2007 05  702·
 2007 02  83.
 2007 01  721.
 2006 12 282·
 2006 11 33
 2006 10 3112.
 2006 09 884.
 2006 08 3311·
 2006 07 431.
 2006 06 423.
 2006 05 265.
 2006 04 163.
 2006 03 335·
 2006 01 34.
 2005 12  816·
 2005 11  25.
 2005 10  595.
 2005 09  34·
 2005 08  734·
 2005 07  432.
 2005 06  2
 2005 05  542·
 2005 04  458·
 2005 03  1412.
 2005 02  704.
 2005 01  944·
 2004 12 664.
 2004 11 145·
 2004 10 934·
 2004 09 872.
 2004 08 3112·
 2004 07 701.
 2004 06 293.
 2004 05 196·
 2004 04 593·
 2004 03 3213.
 2004 02 6011.
 2004 01 421.
 2003 12  935.
 2003 11  756.
 2003 10  914·
 2003 09  80
 2003 08  42·
 2003 07  995·
 2003 06  542·
 2003 05  94.
 2003 04  848.
 2003 03  317.
 2003 02  715.
 2003 01  806.
 2002 12 545·
 2002 11 193·
 2002 10 3012.
 2002 09 620.
 2002 08 5810·
 2002 07 4114·
 2002 06 3114·
 2002 05 2315·
 2002 04 6410·
 2002 03 96
 2002 02 4015.
 2002 01 967·
 2001 12  666·
 2001 10  93·
 2001 09  167.
 2001 08  1215·
 2001 07  859.
 2001 06  315·
 2001 05  392.
 2001 04  848·
 2001 03  63
 2000 11 38
 2000 10 155.
 2000 06 50
 2000 05 712.
 2000 04 295·
 2000 02 775·
 1999 11  739.
 1999 10  211·
 1999 09  30
 1999 08  821·
 1999 04  404.
 1999 03  756·
 1999 02  927.
 1999 01  104.
 1998 12 65
 1998 11 352·
 1998 10 891.
 1998 09 692.
 1998 07 863.
 1998 06 502.
 1998 05 233·
 1998 04 903·
 1998 03 642.
 1998 01 160.
 1997 12  183.
 1997 11  296.
 1997 10  892·
 1997 09  502·
 1997 08  265.
 1997 07  694·
 1997 06  730·
 1997 05  981.
 1997 04  212.
 1997 03  175.
 1997 02  54
 1997 01  273.
 1996 12 43·
 1996 11 20·
 1996 10 953.
 1996 09 349·
 1996 08 04·
 1996 07 84
 1996 06 849.
 1996 05 357.
 1996 03 591.
 1996 02 421.
 1996 01 332.
 1995 12  770.
 1995 11  58
 1995 10  849.
 1995 09  812·
 1995 08  2713·
 1995 07  968.
 1995 06  419.
 1995 05  916·
 1995 04  804.
 1995 03  996·
 1995 02  701.
 1995 01  492.
 1994 12 55
 1994 11 172.
 1994 10 5212·
 1994 09 706.
 1994 08 979.
 1994 07 257.
 1994 06 95
 1994 05 9111.
 1994 04 735·
 1994 03 255.
 1994 02 293.
 1994 01 764.
 1993 12  805·
 1993 11  404.
 1993 09  122.
 1993 08  112.
 1993 07  353·
 1993 04  234·
 1993 03  267.
 1993 02  9
 1993 01  835·
 1992 12 479.
 1992 11 759·
 1992 10 1010.
 1992 09 937.
 1992 08 1513·
 1992 07 9412.
 1992 06 7514.
 1992 05 5811.
 1992 04 508.
 1992 03 3710.
 1992 02 936·
 1992 01 07·
 1991 12  312·
 1991 11  873.
 1991 10  765·
 1991 09  602·
 1991 08  505.
 1991 07  504·
 1991 06  624·
 1991 05  94.
 1991 04  914.
 1991 03  585.
 1991 02  143.
 1991 01  413.
 1990 12 523.
 1990 11 683·
 1990 10 20
 1990 09 741.
 1990 08 822·
 1990 07 611.
 1990 06 942·
 1990 05 534·
 1990 04 58
 1990 03 44
 1990 02 725.
 1990 01 483.
 1989 12  794.
 1989 11  493.
 1989 10  182.
 1989 07  515·
 1989 04  71
 1989 03  31
 1989 02  194·
 1989 01  833·
 1988 12 851.
 1988 11 741.
 1988 10 892·
 1988 09 884·
 1988 08 962.
 1988 04 822.
 1988 02 653·
 1987 12  341·
 1987 11  33·
 1987 10  891.
 1987 08  115·
 1987 07  163.
 1987 05  342·
 1987 03  511.
 1987 02  13
 1987 01  536·
 1986 12 372·
 1986 09 493·
 1986 08 862.
 1986 07 884·
 1986 06 892.
 1986 03 901·
 1986 02 672·
 1985 09  923·
 1985 08  892·
 1985 07  66·
 1985 06  183.
 1985 05  591.
 1985 04  641·
 1985 03  523·
 1985 02  291·
 1984 12 74·
 1984 11 632.
 1984 10 124·
 1984 09 111.
 1984 08 801·
 1984 07 623.
 1984 06 924·
 1984 05 25·
 1984 04 483.
 1984 03 612.
 1983 12  221·
 1983 11  663.
 1983 10  54.
 1983 09  865.
 1983 08  617·
 1983 07  902·
 1983 06  714.
 1983 05  887.
 1983 04  89
 1983 03  877·
 1983 02  883.
 1983 01  4013·
 1982 12 134·
 1982 11 958·
 1982 10 272·
 1982 09 452·
 1982 07 64
 1982 05 776.
 1982 04 811.
 1982 03 274.
 1982 02 11.
 1982 01 221.
 1981 11  691·
 1981 08  362.
 1981 07  3
 1981 06  402·
 1981 05  375·
 1981 04  494·
 1981 03  784.
 1981 02  721.
 1981 01  52
 1980 12 652.
 1980 11 57
 1980 10 791·
 1980 09 104·
 1980 08 103.
 1980 07 976.
 1980 06 494.
 1980 05 283·
 1980 03 341·
 1980 02 802·
 1980 01 964·
 1979 12  522·
 1979 11  132.
 1979 10  12
 1979 07  572·
 1979 06  501.
 1979 03  462.
 1979 01  252.
 1978 08 952·
 1978 07 17
 1978 06 603.
 1978 04 76
 1978 03 981.
 1978 02 723·
 1978 01 57.
 1977 12  457.
 1977 11  7811.
 1977 10  5810.
 1977 09  574·
 1977 08  417·
 1977 07  755·
 1977 06  469.
 1977 05  145.
 1977 04  946·
 1977 03  509·
 1977 02  285.
 1977 01  49·
 1976 12 614.
 1976 11 927·
 1976 10 257·
 1976 09 769·
 1976 08 247.
 1976 07 1316.
 1976 06 804.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: Alternative Measures of Labor Underutilization
Unemployment Rate: Gender
Unemployment Rate: Black: Gender
Unemployment Rate: White: Gender
Unemployment Rate: Race
Unemployment Rate: Age: 16/25/35/45/55
Unemployment Rate: Education
Unemployment Rate: Nonagricultural Industry
Unemployment Rate: Job Category
Median Weeks Unemployed: Age
Median Weeks Unemployed: Race


The US Labor Force Dataset from the BLS contains nearly 15,000 series.
These series are subcategories of the popular series of:

Civilian Labor Force (subcategories)
Employment Level (subcategories)
Unemployment Level (subcategories)
US Unemployment Rate (subcategories)
Population (subcategories)
Employment-Population Ratio (subcategories)
Median Weeks Unemployed (subcategories)
Percent Distribution (subcategories)
Average Hours At Work (subcategories)
Of Total Unemployed (subcategories)

These basic measures are augmented by:

Population
Labor Force Participation Rate
Employment-Population Ratio
Not in Labor Force
Number at work
Average hours at work
Multiple jobholders
Average number of search methods used
Number At work part-time

These series can be subdivided by:

Sex:

Male
Female

Race and Ethnicity:

White
Black
Hispanic
Mexican
Puerto Rican
Cuban

Age:

16 years and over (default)
14_yrs._&_over
16-17_yrs.
16-19_yrs.
16-21_yrs.
16-24_yrs.
18-19_yrs.
20_yrs._&_over
20-24_yrs.
20-64_yrs.
25_yrs._&_over
25-29_yrs.
25-34_yrs.
25-54_yrs.
25-59_yrs.
30-34_yrs.
35-39_yrs.
35-44_yrs.
40-44_yrs.
45_yrs._&_over
45-49_yrs.
45-54_yrs.
50-54_yrs.
55_yrs._&_over
55-59_yrs.
55-64_yrs.
60-61_yrs.
60-64_yrs.
62-64_yrs.
65_yrs._&_over
65-69_yrs.
70_yrs._&_over

Class Of Worker:

Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers

Industry:

Agriculture_Service
Furniture_And_Fixtures
Motor_Vehicles_&_Motor_Vehicle_Equipment
Aircraft
Tobacco
Eating_And_Drinking
Private_Households
Hospital
Postal
Federal
State
Local
Goods_Producing
Service_Producing
Agriculture_(Excludes_Forestry_And_Fisheries)
Forestry_And_Fisheries
Nonagricultural
Mining
Construction
Manufacturing
Manufacturing,_Durables
Lumber_And_Wood_Products,_Except_Furniture
Stone,_Clay,_And_Glass_Products
Primary_Metal
Fabricated_Metal
Machinery
Electrical_machinery,_equipment,_&_supplies
Transportation_Equipment
Professional_&_photographic_equipment_&_watches
Other_transportation_equipment
Fabricated_Metals
Manufacturing,_Nondurables
Food_And_Kindred_Products
Textile_Mill_Products
Apparel_And_Other_Fabricated_Textile_Products
Paper_And_Allied_Products
Printing,_Publishing,_And_Allied_Industries
Chemicals_And_Allied_Products
Petroleum_And_Coal_Products
Rubber_And_Miscellaneous_Plastic_Products
Leather_And_Leather_Products
Transportation,_Communication,_And_Other_Public_Utilities
Transportation
Transportation_Other_Than_Railroad_And_Railway_Express
Communications_And_Other_Public_Utilities
Communications
Trade
Wholesale_Trade
Retail_Trade
Service_Industries
Finance,_Insurance,_And_Real_Estate
Insurance_And_Real_Estate
Banking_And_Other_Financial_Organizations
Business_And_Repair_Services
Businesses
Repair_Services
Personal_Services
Entertainment_And_Recreation_Services
Professional_And_Related_Services
Medical
Educational_Services
Welfare_And_Religious_Services
Public_Administration

Occupation:

Managerial_&_professional_specialty_occupation
Executive,_administration,_&_managerial
Officials_&_administration,_public_administation
Management_Related_Occupations
Professional_Specialty_Occupations
Engineers
Math_&_Computer_Scientists
Natural_scientists
Health_Diagnosing_Occupations
Health_Assessment_&_Treating
Teachers,_college_&_university
Lawyers_&_Judges
Technical,_sales,_administration_support
Technicians_&_related_support_occupations
Health_technologists_&_technicians
Engineering_&_science_technicians
Technicians
Sales_Occupations
Supervisors_&_Proprietors
Sales_reps,_finance_&_business_services
Sales_reps,_commodities
Sales,_retail_&_personal
Sales_Related_Occupations
Administrative_support
Supervisors
Computer_Equipment_Operators
Secretaries,_stenographers,_&_typists
Financial_Records_Processing
Mail_&_Message_Distributing
Service_Occupation
Private_Household
Protective_Services
Food_Service
Health_Service
Cleaning_&_Building_Service
Personal_Service
Precision_Production,_Craft,_Repair
Mechanics_&_Repairers
Construction_Trades
Operators,_Fabricators,_Laborers
Machine_operators,_assemblers,_inspectors
Operators_&_tenders
Fabricators,_assemblers,_inspectors,_samplers
Transportation,_material_moving
Motor_vehicle_operators
Handlers,_equipment_cleaners,_helpers,_laborers
Construction_Laborers
Freight,_stock_material_handlers
Farming,_Forestry,_Fishing
Farm_Operators_&_Managers
Farm_workers_&_related_occupations
Forestry_&_fishing_occupations

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      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Number Unemployed for 27-51 Weeks 65 years and over, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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